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Listening Quiz: Chọn Thuật Toán Phù Hợp cho Phân Tích Quang Phổ – Easy Level
Th1 13, 2024
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà vật lý học (English for Physicist)
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1.
What are William and Jessica mainly discussing?
How to write code for a new software program
Why genetic algorithms always work better than other methods
Which fitting algorithm to choose for spectral analysis
How to clean up noisy data before analysis
Explanation:
They are deciding which fitting algorithm to use, and they compare least squares, gradient descent, and genetic algorithms for spectral analysis.
2.
According to Jessica, which method might work for large data?
Gradient descent
Genetic algorithm
Noise filtering
Least squares fitting
Explanation:
Jessica says, ‘For large data, gradient descent might work.’
3.
What does William say about least squares fitting?
It is good but can be slow
It is the best for global solutions
It is fast but inaccurate
It cannot handle noise at all
Explanation:
William says, ‘Least squares is good but can be slow.’
4.
What can be inferred about William and Jessica’s decision?
They will definitely use a genetic algorithm
They want to compare two methods before deciding
They are no longer interested in speed
They have already chosen least squares fitting
Explanation:
William says, ‘Let’s test both and compare the results,’ which shows they want to compare methods before choosing.
5.
Why does Jessica mention that genetic algorithms can find global solutions better?
To say that they should not be tested
To explain a strength of genetic algorithms despite their longer runtime
To show that they are less accurate than least squares
To argue that they are always the fastest choice
Explanation:
Jessica contrasts the drawback that genetic algorithms take more time with the benefit that they can find global solutions better.
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